Fuzzy Algorithms for Control
Fuzzy Algorithms for Control gives an overview of the research results of a number of European research groups that are active and play a leading role in the field of fuzzy modeling and control. It contains 12 chapters divided into three parts. Chapters in the first part address the position of fuzz...
| Other Authors: | , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Dordrecht
Springer Netherlands
1999, 1999
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| Edition: | 1st ed. 1999 |
| Series: | International Series in Intelligent Technologies
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| Subjects: | |
| Online Access: | |
| Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- I The Position and State of The Art of Fuzzy Systems
- 1 Fuzzy Systems in Control Engineering
- 2 Fuzzy Logic, Control Engineering and Artificial Intelligence
- 3 Fuzzy Control Versus Conventional Control
- 4 Data-Driven Construction of Transparent Fuzzy Models
- II Design and Analysis Issues
- 5 Fuzzy Logic Normal Forms for Control Law Representation
- 6 Stability Analysis of Fuzzy Control Loops
- 7 Performance Criteria: Classical and Fuzzy Design
- 8 Complexity Reduction Methods for Fuzzy Systems
- III Application of Fuzzy Systems
- 9 Intelligent Data Analysis and Fuzzy Control
- 10 Fuzzy Control in Process Industry
- 11 Fuzzy Logic Applications in Mobile Robotics
- 12 Enhancing Flight Control using Fuzzy Logic